Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations
Abstract
Abstract Entrainment‐mixing mechanisms significantly affect cloud droplet number concentration, radius, and spectral shape. Quantitative examination of entrainment‐mixing effects on cloud droplet spectral width is lacking. This study examines the effects of entrainment‐mixing processes on cloud microphysics by 12,218 different setups, each simulated 10 times using the Explicit Mixing Parcel Model (EMPM) driven by the observational data from the Third Tibetan Plateau Atmospheric Scientific Experiment (TIPEX‐III) campaign. Parameterizations of entrainment‐mixing mechanisms are developed by relating homogeneous mixing degree to transition scale number that depends on the dissipation rate and droplet evaporation time scale. The correlation between relative dispersion of cloud droplet size distribution and homogeneous mixing degree changes from negative to positive with the decreasing homogeneous mixing degree. The different relationships are closely related to the competition between complete and partial droplet evaporation and the number concentration of small droplets, which are quantitatively described by two newly introduced dimensionless numbers. The competition is significantly affected by relative humidity and mixing fraction of entrained air as well as turbulence dissipation rate, but not much by cloud droplet number concentration. Especially, when relative humidity and dissipation rate are high, there is only a negative correlation. This study sheds new light on generalizing themore »
- Authors:
-
[1];
[2];
[3];
[4];
[1];
- Nanjing Univ. of Information Science and Technlogy (China)
- Brookhaven National Lab. (BNL), Upton, NY (United States). Biological, Environmental & Climate Sciences Dept.
- Univ. of Chinese Academy of Sciences (CAS), Beijing (China)
- Chinese Academy of Sciences (CAS), Beijing (China)
- Suzhou Meteorological Bureau (China)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; National Key Research and Development Program of China; Second Tibetan Plateau Scientific Expedition and Research (STEP) Program; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China (NSFC); Qinglan Project; Jiangsu Six Talent Peak Project; National Center of Meteorology (United Arab Emirates)
- OSTI Identifier:
- 1706594
- Alternate Identifier(s):
- OSTI ID: 1786879
- Report Number(s):
- BNL-220563-2020-JAAM
Journal ID: ISSN 2169-897X
- Grant/Contract Number:
- SC0012704; 33504; 2018YFC1505704; 2019QZKK0105; BK20160041; 41822504; 91537108; 41975181; R2018Q05; 2015-JY-011; DE‐SC00112704
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 125; Journal Issue: 22; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Luo, Shi, Lu, Chunsong, Liu, Yangang, Bian, Jianchun, Gao, Wenhua, Li, Junjun, Xu, Xiaoqi, Gao, Sinan, Yang, Suying, and Guo, Xiaohao. Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations. United States: N. p., 2020.
Web. doi:10.1029/2020jd032972.
Luo, Shi, Lu, Chunsong, Liu, Yangang, Bian, Jianchun, Gao, Wenhua, Li, Junjun, Xu, Xiaoqi, Gao, Sinan, Yang, Suying, & Guo, Xiaohao. Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations. United States. https://doi.org/10.1029/2020jd032972
Luo, Shi, Lu, Chunsong, Liu, Yangang, Bian, Jianchun, Gao, Wenhua, Li, Junjun, Xu, Xiaoqi, Gao, Sinan, Yang, Suying, and Guo, Xiaohao. Sat .
"Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations". United States. https://doi.org/10.1029/2020jd032972. https://www.osti.gov/servlets/purl/1706594.
@article{osti_1706594,
title = {Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations},
author = {Luo, Shi and Lu, Chunsong and Liu, Yangang and Bian, Jianchun and Gao, Wenhua and Li, Junjun and Xu, Xiaoqi and Gao, Sinan and Yang, Suying and Guo, Xiaohao},
abstractNote = {Abstract Entrainment‐mixing mechanisms significantly affect cloud droplet number concentration, radius, and spectral shape. Quantitative examination of entrainment‐mixing effects on cloud droplet spectral width is lacking. This study examines the effects of entrainment‐mixing processes on cloud microphysics by 12,218 different setups, each simulated 10 times using the Explicit Mixing Parcel Model (EMPM) driven by the observational data from the Third Tibetan Plateau Atmospheric Scientific Experiment (TIPEX‐III) campaign. Parameterizations of entrainment‐mixing mechanisms are developed by relating homogeneous mixing degree to transition scale number that depends on the dissipation rate and droplet evaporation time scale. The correlation between relative dispersion of cloud droplet size distribution and homogeneous mixing degree changes from negative to positive with the decreasing homogeneous mixing degree. The different relationships are closely related to the competition between complete and partial droplet evaporation and the number concentration of small droplets, which are quantitatively described by two newly introduced dimensionless numbers. The competition is significantly affected by relative humidity and mixing fraction of entrained air as well as turbulence dissipation rate, but not much by cloud droplet number concentration. Especially, when relative humidity and dissipation rate are high, there is only a negative correlation. This study sheds new light on generalizing the homogeneous/inhomogeneous concept by considering relative dispersion and also provides parameterizations of entrainment‐mixing processes and relative dispersion for atmospheric models.},
doi = {10.1029/2020jd032972},
journal = {Journal of Geophysical Research: Atmospheres},
number = 22,
volume = 125,
place = {United States},
year = {Sat Oct 31 00:00:00 EDT 2020},
month = {Sat Oct 31 00:00:00 EDT 2020}
}
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